Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Multi-agent AI is rapidly gaining traction, and one big ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

What if your multi-agent system could communicate faster, use fewer resources, and still maintain seamless functionality? That’s the promise of handoffs in OpenAI’s Agents SDK—a feature that’s ...

Agentic AI means autonomous agents working together, sharing data, and taking action – across different systems and platforms ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Multi-agent coding needs isolation and trace logs; timestamped action trails and separate workspaces cut conflicts and ease ...